By Laura Hamilton Machine Learning (CS 229) is the most popular course at Stanford. Why? Because, increasingly, machine learning is eating the world. Machine learning is a powerful artificial ...

No machine learning development is required for an admin to turn on functions, and predictions, such as the next best action for a sales rep, are surfaced in the context of the apps they already use.

Andritz Automation is looking to leverage machine learning to run its plants autonomously. “First, they use simulation software, separate from Ignition, to simulate a plant,” McClusky said. “Then they ...

Machine learning and its subsets are useful for a wide range of problems, tasks, and applications. There’s computer vision , which allows computers to “see” and make sense of images and videos.

It’s not so much a charting library people use for building a user interface for machine learning applications, although it can be used for that. Integration seems to be centered around data ...

Machine learning and digital marketing. 30% of companies were already using machine learning in at least one part of their sales process in 2020. Intelligent machine learning applications can be used ...

There’s a misconception that to leverage machine learning you need to be a mathematical genius. In reality, most machine-learning applications use well-understood, well-tested, off-the-shelf ...

Novel applications were discussed related to autonomous systems, platform analytics and battle management aids. Specialized sessions were organized on topics including synthetic data for machine ...

Key applications of machine learning in finance. Machine learning is changing the face of finance by automating complex processes, increasing security and allowing better decision-making.

"As practical applications for machine learning rapidly increase, we expect that integrating the tremendous computational ...